Collaborate with cross-functional teams to conduct product verification, resolve technical faults, and ensure smooth project delivery and commercial deployment.
Configure and manage cloud-managed database services across AWS and Azure, designing high availability, scalability, and disaster recovery strategies aligned to RPO/RTO objectives.
Integrate LLM/AI capabilities into real product scenarios, such as intelligent assistants, RAG workflows, AI agents, automation tools, classification, summarization, and issue analysis.
Provide technical governance: Conduct architecture and design reviews, enforce standards, and ensure solutions comply with security, data, and government ICT policies.
Enhance observability for recommendation systems in complex global environments, including multi-region, multi-data center, and multi-language scenarios; establish end-to-end tracing systems and optimize issue attribution mechanisms.
Drive software quality through code reviews, automated testing, and test coverage improvements using tools such as JUnit, Cucumber, Cypress, and similar frameworks.
Analyse user needs and develop software solutions for distributed system, applying principles and techniques of computer science, engineering, and mathematical analysis;
Design, develop, and implement software solutions across frontend and backend systems, incorporating cloud application and data architecture principles